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liuyaohua2017's Projects

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Junnplus's technology blog

books icon books

整理一些书籍 ,包含 C&C++ 、git 、Java、Keras 、Linux 、NLP 、Python 、Scala 、TensorFlow 、大数据 、推荐系统、数据库、数据挖掘 、机器学习 、深度学习 、算法等。

camel icon camel

Apache Camel is an open source integration framework that empowers you to quickly and easily integrate various systems consuming or producing data.

camelinaction2 icon camelinaction2

:camel: This project hosts the source code for the examples of the Camel in Action 2nd ed book :closed_book: written by Claus Ibsen and Jonathan Anstey.

centernet icon centernet

Object detection, 3D detection, and pose estimation using center point detection:

daisyrec icon daisyrec

A developing recommender system in pytorch. Algorithm: KNN, LFM, SLIM, NeuMF, FM, DeepFM, VAE and so on, which aims to fair comparison for recommender system benchmarks

deeplearning icon deeplearning

Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

dmr icon dmr

Deep Match to Rank Model for Personalized Click-Through Rate Prediction

featuretools icon featuretools

An open source python library for automated feature engineering

graphvite icon graphvite

GraphVite: A General and High-performance Graph Embedding System

libffm icon libffm

A Library for Field-aware Factorization Machines

libfm icon libfm

Library for factorization machines

ml-nlp icon ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。

numpy icon numpy

The fundamental package for scientific computing with Python.

psgan icon psgan

PyTorch code for "PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer" (CVPR 2020 Oral)

python icon python

All Algorithms implemented in Python

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